Design of fault diagnosis filters and fault-tolerant control for a class of nonlinear systems

Kabore, R.; Wang, H.

doi:10.1109/9.964696

Cited by 157 publications

(68 citation statements)

References 9 publications

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“…It is worth observing that the suggested NLGA-AF provides not only the fault detection and isolation, but also the fault estimate. For this reason, it could also be compared e.g., with the fault identification scheme proposed by Kaboré and Wang (2001) or Kaboré et al (2000). However, the proposed NLGA-AF is less sensitive to measurement noise, which allows obtaining a smaller minimal detectable fault.…”

Section: Simulation Resultsmentioning

confidence: 99%

Active fault tolerant control of nonlinear systems: The cart-pole example

Bonfè¹,

Castaldi²,

Mimmo³

et al. 2011

International Journal of Applied Mathematics and Computer Science

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This paper describes the design of fault diagnosis and active fault tolerant control schemes that can be developed for nonlinear systems. The methodology is based on a fault detection and diagnosis procedure relying on adaptive filters designed via the nonlinear geometric approach, which allows obtaining the disturbance de-coupling property. The controller reconfiguration exploits directly the on-line estimate of the fault signal. The classical model of an inverted pendulum on a cart is considered as an application example, in order to highlight the complete design procedure, including the mathematical aspects of the nonlinear disturbance de-coupling method based on the nonlinear differential geometry, as well as the feasibility and efficiency of the proposed approach. Extensive simulations of the benchmark process and Monte Carlo analysis are practical tools for assessing experimentally the robustness and stability properties of the developed fault tolerant control scheme, in the presence of modelling and measurement errors. The fault tolerant control method is also compared with a different approach relying on sliding mode control, in order to evaluate benefits and drawbacks of both techniques. This comparison highlights that the proposed design methodology can constitute a reliable and robust approach for application to real nonlinear processes.

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Section: Simulation Resultsmentioning

confidence: 99%

Active fault tolerant control of nonlinear systems: The cart-pole example

Bonfè¹,

Castaldi²,

Mimmo³

et al. 2011

International Journal of Applied Mathematics and Computer Science

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“…The analytical redundancy-based FTCS can generally be classified into two categories: the passive FTCS where controllers are designed fixedly to be robust against a specific class of faults as well as the active FTCS where the system component failures are reacted actively and the controller is reconfigured to accommodate the faults, see [19][20][21]. FTC results for traditional systems can be found in [22,23]. However, compared with the fruitful FDD results for networked systems, the FTC problems in networked environments have gained relatively less research attention and the corresponding results have been scattered [24,25].…”

Section: Fig 1 a Benchmark System: Dts 200mentioning

confidence: 99%

Active Fault-Tolerant Control for an Internet-Based Networked Three-Tank System

Wang

Qin

et al. 2016

IEEE Trans. Contr. Syst. Technol.

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This paper is concerned with the active fault tolerant control (FTC) problem for an Internet-based networked threetank system (INTTS) serving as a benchmark system for evaluating networked FTC algorithms. The INTTS has two parts located at Tsinghua University in China and at the University of South Wales in the UK, respectively, which are connected via Internet. With the INTTS as an experimental platform, the active FTC problem is investigated for a class of nonlinear networked systems subject to partial actuator failures. A binary switching random sequence with a known distribution is employed to describe the packet dropout phenomena induced by network cables with limited-capacity.Once a specific actuator failure is detected and confirmed by a fault diagnosis unit, the control law is then reconfigured based on the information of the detected fault. Both the stability and the H ∞ disturbance attenuation performance are guaranteed for the closed-loop system by using the remaining reliable actuators. Extensive experiments are carried out on the active fault tolerant control problem of the INTTS with partial actuator failures and the effectiveness of the proposed scheme is illustrated. KeywordsActive fault tolerant control, Internet-based networked three-tank system, actuator failure, controller reconfiguration, random packet dropout.

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“…Geometric theory is used to design the fault observer based on decoupling techniques in the works of Kabore and Wang (2001) as well as Kabore et al (2000). This will make the design process complicated.…”

Section: Suppose It Is Used To Estimate the State Vectorx And The Magmentioning

confidence: 99%

“…• The fault diagnosis approaches of Kabore and Wang (2001) as well as Kabore et al (2000) were presented for affine systems based on decoupling techniques, but our study is focused on general nonlinear systems and uses the T-S fuzzy approach.…”

Section: Suppose It Is Used To Estimate the State Vectorx And The Magmentioning

confidence: 99%

Nonlinear actuator fault estimation observer: An inverse system approach via a T-S fuzzy model

Jiang

Shi

2012

International Journal of Applied Mathematics and Computer Science

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Based on a Takagi-Sugeno (T-S) fuzzy model and an inverse system method, this paper deals with the problem of actuator fault estimation for a class of nonlinear dynamic systems. Two different estimation strategies are developed. Firstly, T-S fuzzy models are used to describe nonlinear dynamic systems with an actuator fault. Then, a robust sliding mode observer is designed based on a T-S fuzzy model, and an inverse system method is used to estimate the actuator fault. Next, the second fault estimation strategy is developed. Compared with some existing techniques, such as adaptive and sliding mode methods, the one presented in this paper is easier to be implemented in practice. Finally, two numerical examples are given to demonstrate the efficiency of the proposed techniques.

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Design of fault diagnosis filters and fault-tolerant control for a class of nonlinear systems

Cited by 157 publications

References 9 publications

Active fault tolerant control of nonlinear systems: The cart-pole example

Active fault tolerant control of nonlinear systems: The cart-pole example

Active Fault-Tolerant Control for an Internet-Based Networked Three-Tank System

Nonlinear actuator fault estimation observer: An inverse system approach via a T-S fuzzy model

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